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Spatial decision support in urban environments using machine learning, 3D geo-visualization and semantic integration of multi-source data

Author: Nikolaos SiderisDjamchid Ghazanfarpour-KholendjanyGeorges MiaoulisYves Duthen, enseignant-chercheur en informatique).Elli PetsaAll authors
Publisher: 2019.
Dissertation: Thèse de doctorat : Informatique : Limoges : 2019.
Edition/Format:   Computer file : Document : Thesis/dissertation : English
Summary:
La quantité et la disponibilité sans cesse croissantes de données urbaines dérivées de sources variées posent de nombreux problèmes, notamment la consolidation, la visualisation et les perspectives d'exploitation maximales des données susmentionnées. Un problème prééminent qui affecte l'urbanisme est le choix du lieu approprié pour accueillir une activité particulière (service social ou commercial
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Genre/Form: Thèses et écrits académiques
Material Type: Document, Thesis/dissertation, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Nikolaos Sideris; Djamchid Ghazanfarpour-Kholendjany; Georges Miaoulis; Yves Duthen, enseignant-chercheur en informatique).; Elli Petsa; Université de Limoges.; École doctorale Sciences et Ingénierie des Systèmes, Mathématiques, Informatique (Limoges).; XLIM.
OCLC Number: 1143545645
Notes: Titre provenant de l'écran-titre.
Description: 1 online resource
Responsibility: Nikolaos Sideris ; sous la direction de Djamchid Ghazanfarpour-Kholendjany et de Georges Miaoulis.

Abstract:

La quantité et la disponibilité sans cesse croissantes de données urbaines dérivées de sources variées posent de nombreux problèmes, notamment la consolidation, la visualisation et les perspectives d'exploitation maximales des données susmentionnées. Un problème prééminent qui affecte l'urbanisme est le choix du lieu approprié pour accueillir une activité particulière (service social ou commercial commun) ou l'utilisation correcte d'un bâtiment existant ou d'un espace vide. Dans cette thèse, nous proposons une approche pour aborder les défis précédents rencontrés avec les techniques d'apprentissage automatique, le classifieur de forêts aléatoires comme méthode dominante dans un système qui combine et fusionne divers types de données provenant de sources différentes, et les code à l'aide d'un nouveau modèle sémantique. qui peut capturer et utiliser à la fois des informations géométriques de bas niveau et des informations sémantiques de niveau supérieur et les transmet ensuite au classifieur de forêts aléatoires. Les données sont également transmises à d'autres classificateurs et les résultats sont évalués pour confirmer la prévalence de la méthode proposée. Les données extraites proviennent d'une multitude de sources, par exemple: fournisseurs de données ouvertes et organisations publiques s'occupant de planification urbaine. Lors de leur récupération et de leur inspection à différents niveaux (importation, conversion, géospatiale, par exemple), ils sont convertis de manière appropriée pour respecter les règles du modèle sémantique et les spécifications techniques des sous-systèmes correspondants. Des calculs géométriques et géographiques sont effectués et des informations sémantiques sont extraites. Enfin, les informations des étapes précédentes, ainsi que les résultats des techniques d'apprentissage automatique et des méthodes multicritères, sont intégrés au système et visualisés dans un environnement Web frontal capable d'exécuter et de visualiser des requêtes spatiales, permettant ainsi la gestion de trois processus. objets géoréférencés dimensionnels, leur récupération, transformation et visualisation, en tant que système d'aide à la décision.

The constantly increasing amount and availability of urban data derived from varying sources leads to an assortment of challenges that include, among others, the consolidation, visualization, and maximal exploitation prospects of the aforementioned data. A preeminent problem affecting urban planning is the appropriate choice of location to host a particular activity (either commercial or common welfare service) or the correct use of an existing building or empty space. In this thesis we propose an approach to address the preceding challenges availed with machine learning techniques with the random forests classifier as its dominant method in a system that combines, blends and merges various types of data from different sources, encode them using a novel semantic model that can capture and utilize both low-level geometric information and higher level semantic information and subsequently feeds them to the random forests classifier. The data are also forwarded to alternative classifiers and the results are appraised to confirm the prevalence of the proposed method. The data retrieved stem from a multitude of sources, e.g. open data providers and public organizations dealing with urban planning. Upon their retrieval and inspection at various levels (e.g. import, conversion, geospatial) they are appropriately converted to comply with the rules of the semantic model and the technical specifications of the corresponding subsystems. Geometrical and geographical calculations are performed and semantic information is extracted. Finally, the information from individual earlier stages along with the results from the machine learning techniques and the multicriteria methods are integrated into the system and visualized in a front-end web based environment able to execute and visualize spatial queries, allow the management of three-dimensional georeferenced objects, their retrieval, transformation and visualization, as a decision support system.

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<http:\/\/www.worldcat.org\/oclc\/1143545645<\/a>> # Spatial decision support in urban environments using machine learning, 3D geo-visualization and semantic integration of multi-source data<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:CreativeWork<\/a>, bgn:ComputerFile<\/a>, schema:MediaObject<\/a>, bgn:Thesis<\/a> ;\u00A0\u00A0\u00A0\nbgn:inSupportOf<\/a> \"Th\u00E8se de doctorat : Informatique : Limoges : 2019.<\/span>\" ;\u00A0\u00A0\u00A0\nlibrary:oclcnum<\/a> \"1143545645<\/span>\" ;\u00A0\u00A0\u00A0\nlibrary:placeOfPublication<\/a> <http:\/\/id.loc.gov\/vocabulary\/countries\/fr<\/a>> ;\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Thing\/sig<\/a>> ; # SIG<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Topic\/data_visualisation<\/a>> ; # Data visualisation<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Topic\/apprentissage_automatique<\/a>> ; # Apprentissage automatique<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Topic\/systemes_d_information_geographique<\/a>> ; # Syst\u00E8mes d\'information g\u00E9ographique<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Thing\/amenagement_urbain<\/a>> ; # Am\u00E9nagement urbain<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/dewey.info\/class\/006.31\/<\/a>> ;\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Thing\/systeme_d_aide_a_la_decisio<\/a>> ; # Syst\u00E8me d\'aide \u00E0 la d\u00E9cisio<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Topic\/design_urbain_prise_de_decision<\/a>> ; # Design urbain--Prise de d\u00E9cision<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Thing\/apprentissage_machine<\/a>> ; # Apprentissage machine<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Thing\/modelisation_semantique<\/a>> ; # Mod\u00E9lisation s\u00E9mantique<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Thing\/visualisation<\/a>> ; # Visualisation<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Topic\/imagerie_tridimensionnelle<\/a>> ; # Imagerie tridimensionnelle<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Thing\/villes_virtuelles<\/a>> ; # Villes virtuelles<\/span>\n\u00A0\u00A0\u00A0\nschema:author<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Person\/sideris_nikolaos_1978<\/a>> ; # Nikolaos Sideris<\/span>\n\u00A0\u00A0\u00A0\nschema:contributor<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Organization\/ecole_doctorale_sciences_et_ingenierie_des_systemes_mathematiques_informatique_limoges<\/a>> ; # \u00C9cole doctorale Sciences et Ing\u00E9nierie des Syst\u00E8mes, Math\u00E9matiques, Informatique (Limoges).<\/span>\n\u00A0\u00A0\u00A0\nschema:contributor<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Person\/miaoulis_georges_1954<\/a>> ; # Georges Miaoulis<\/span>\n\u00A0\u00A0\u00A0\nschema:contributor<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Person\/petsa_elli<\/a>> ; # Elli Petsa<\/span>\n\u00A0\u00A0\u00A0\nschema:contributor<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Organization\/universite_de_limoges<\/a>> ; # Universit\u00E9 de Limoges.<\/span>\n\u00A0\u00A0\u00A0\nschema:contributor<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Person\/ghazanfarpour_kholendjany_djamchid_1957<\/a>> ; # Djamchid Ghazanfarpour-Kholendjany<\/span>\n\u00A0\u00A0\u00A0\nschema:contributor<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Person\/duthen_yves_1957_enseignant_chercheur_en_informatique<\/a>> ; # enseignant-chercheur en informatique). Yves Duthen<\/span>\n\u00A0\u00A0\u00A0\nschema:contributor<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Organization\/xlim<\/a>> ; # XLIM.<\/span>\n\u00A0\u00A0\u00A0\nschema:datePublished<\/a> \"2019<\/span>\" ;\u00A0\u00A0\u00A0\nschema:description<\/a> \"The constantly increasing amount and availability of urban data derived from varying sources leads to an assortment of challenges that include, among others, the consolidation, visualization, and maximal exploitation prospects of the aforementioned data. A preeminent problem affecting urban planning is the appropriate choice of location to host a particular activity (either commercial or common welfare service) or the correct use of an existing building or empty space. In this thesis we propose an approach to address the preceding challenges availed with machine learning techniques with the random forests classifier as its dominant method in a system that combines, blends and merges various types of data from different sources, encode them using a novel semantic model that can capture and utilize both low-level geometric information and higher level semantic information and subsequently feeds them to the random forests classifier. The data are also forwarded to alternative classifiers and the results are appraised to confirm the prevalence of the proposed method. The data retrieved stem from a multitude of sources, e.g. open data providers and public organizations dealing with urban planning. Upon their retrieval and inspection at various levels (e.g. import, conversion, geospatial) they are appropriately converted to comply with the rules of the semantic model and the technical specifications of the corresponding subsystems. Geometrical and geographical calculations are performed and semantic information is extracted. Finally, the information from individual earlier stages along with the results from the machine learning techniques and the multicriteria methods are integrated into the system and visualized in a front-end web based environment able to execute and visualize spatial queries, allow the management of three-dimensional georeferenced objects, their retrieval, transformation and visualization, as a decision support system.<\/span>\" ;\u00A0\u00A0\u00A0\nschema:description<\/a> \"La quantit\u00E9 et la disponibilit\u00E9 sans cesse croissantes de donn\u00E9es urbaines d\u00E9riv\u00E9es de sources vari\u00E9es posent de nombreux probl\u00E8mes, notamment la consolidation, la visualisation et les perspectives d\'exploitation maximales des donn\u00E9es susmentionn\u00E9es. Un probl\u00E8me pr\u00E9\u00E9minent qui affecte l\'urbanisme est le choix du lieu appropri\u00E9 pour accueillir une activit\u00E9 particuli\u00E8re (service social ou commercial commun) ou l\'utilisation correcte d\'un b\u00E2timent existant ou d\'un espace vide. Dans cette th\u00E8se, nous proposons une approche pour aborder les d\u00E9fis pr\u00E9c\u00E9dents rencontr\u00E9s avec les techniques d\'apprentissage automatique, le classifieur de for\u00EAts al\u00E9atoires comme m\u00E9thode dominante dans un syst\u00E8me qui combine et fusionne divers types de donn\u00E9es provenant de sources diff\u00E9rentes, et les code \u00E0 l\'aide d\'un nouveau mod\u00E8le s\u00E9mantique. qui peut capturer et utiliser \u00E0 la fois des informations g\u00E9om\u00E9triques de bas niveau et des informations s\u00E9mantiques de niveau sup\u00E9rieur et les transmet ensuite au classifieur de for\u00EAts al\u00E9atoires. Les donn\u00E9es sont \u00E9galement transmises \u00E0 d\'autres classificateurs et les r\u00E9sultats sont \u00E9valu\u00E9s pour confirmer la pr\u00E9valence de la m\u00E9thode propos\u00E9e. Les donn\u00E9es extraites proviennent d\'une multitude de sources, par exemple: fournisseurs de donn\u00E9es ouvertes et organisations publiques s\'occupant de planification urbaine. Lors de leur r\u00E9cup\u00E9ration et de leur inspection \u00E0 diff\u00E9rents niveaux (importation, conversion, g\u00E9ospatiale, par exemple), ils sont convertis de mani\u00E8re appropri\u00E9e pour respecter les r\u00E8gles du mod\u00E8le s\u00E9mantique et les sp\u00E9cifications techniques des sous-syst\u00E8mes correspondants. Des calculs g\u00E9om\u00E9triques et g\u00E9ographiques sont effectu\u00E9s et des informations s\u00E9mantiques sont extraites. Enfin, les informations des \u00E9tapes pr\u00E9c\u00E9dentes, ainsi que les r\u00E9sultats des techniques d\'apprentissage automatique et des m\u00E9thodes multicrit\u00E8res, sont int\u00E9gr\u00E9s au syst\u00E8me et visualis\u00E9s dans un environnement Web frontal capable d\'ex\u00E9cuter et de visualiser des requ\u00EAtes spatiales, permettant ainsi la gestion de trois processus. objets g\u00E9or\u00E9f\u00E9renc\u00E9s dimensionnels, leur r\u00E9cup\u00E9ration, transformation et visualisation, en tant que syst\u00E8me d\'aide \u00E0 la d\u00E9cision.<\/span>\" ;\u00A0\u00A0\u00A0\nschema:exampleOfWork<\/a> <http:\/\/worldcat.org\/entity\/work\/id\/10026875583<\/a>> ;\u00A0\u00A0\u00A0\nschema:genre<\/a> \"Th\u00E8ses et \u00E9crits acad\u00E9miques<\/span>\" ;\u00A0\u00A0\u00A0\nschema:inLanguage<\/a> \"en<\/span>\" ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Spatial decision support in urban environments using machine learning, 3D geo-visualization and semantic integration of multi-source data<\/span>\" ;\u00A0\u00A0\u00A0\nschema:productID<\/a> \"1143545645<\/span>\" ;\u00A0\u00A0\u00A0\nschema:url<\/a> <http:\/\/www.theses.fr\/2019LIMO0083\/document<\/a>> ;\u00A0\u00A0\u00A0\nschema:url<\/a> <https:\/\/tel.archives-ouvertes.fr\/tel-02449667<\/a>> ;\u00A0\u00A0\u00A0\nschema:url<\/a> <http:\/\/www.theses.fr\/2019LIMO0083\/abes<\/a>> ;\u00A0\u00A0\u00A0\nschema:url<\/a> <http:\/\/aurore.unilim.fr\/theses\/nxfile\/default\/468923a1-3d9f-4c67-a81f-b83ab5c72ab2\/blobholder:0\/2019LIMO0083.pdf<\/a>> ;\u00A0\u00A0\u00A0\nwdrs:describedby<\/a> <http:\/\/www.worldcat.org\/title\/-\/oclc\/1143545645<\/a>> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n\n

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<http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Organization\/universite_de_limoges<\/a>> # Universit\u00E9 de Limoges.<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Organization<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Universit\u00E9 de Limoges.<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Organization\/xlim<\/a>> # XLIM.<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Organization<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"XLIM.<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Person\/duthen_yves_1957_enseignant_chercheur_en_informatique<\/a>> # enseignant-chercheur en informatique). Yves Duthen<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Person<\/a> ;\u00A0\u00A0\u00A0\nschema:birthDate<\/a> \"1957<\/span>\" ;\u00A0\u00A0\u00A0\nschema:deathDate<\/a> \";<\/span>\" ;\u00A0\u00A0\u00A0\nschema:familyName<\/a> \"Duthen<\/span>\" ;\u00A0\u00A0\u00A0\nschema:givenName<\/a> \"Yves<\/span>\" ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"enseignant-chercheur en informatique). Yves Duthen<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Person\/ghazanfarpour_kholendjany_djamchid_1957<\/a>> # Djamchid Ghazanfarpour-Kholendjany<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Person<\/a> ;\u00A0\u00A0\u00A0\nschema:birthDate<\/a> \"1957<\/span>\" ;\u00A0\u00A0\u00A0\nschema:deathDate<\/a> \"\" ;\u00A0\u00A0\u00A0\nschema:familyName<\/a> \"Ghazanfarpour-Kholendjany<\/span>\" ;\u00A0\u00A0\u00A0\nschema:givenName<\/a> \"Djamchid<\/span>\" ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Djamchid Ghazanfarpour-Kholendjany<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Person\/miaoulis_georges_1954<\/a>> # Georges Miaoulis<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Person<\/a> ;\u00A0\u00A0\u00A0\nschema:birthDate<\/a> \"1954<\/span>\" ;\u00A0\u00A0\u00A0\nschema:deathDate<\/a> \"\" ;\u00A0\u00A0\u00A0\nschema:familyName<\/a> \"Miaoulis<\/span>\" ;\u00A0\u00A0\u00A0\nschema:givenName<\/a> \"Georges<\/span>\" ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Georges Miaoulis<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Person\/petsa_elli<\/a>> # Elli Petsa<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Person<\/a> ;\u00A0\u00A0\u00A0\nschema:familyName<\/a> \"Petsa<\/span>\" ;\u00A0\u00A0\u00A0\nschema:givenName<\/a> \"Elli<\/span>\" ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Elli Petsa<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Person\/sideris_nikolaos_1978<\/a>> # Nikolaos Sideris<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Person<\/a> ;\u00A0\u00A0\u00A0\nschema:birthDate<\/a> \"1978<\/span>\" ;\u00A0\u00A0\u00A0\nschema:deathDate<\/a> \"\" ;\u00A0\u00A0\u00A0\nschema:familyName<\/a> \"Sideris<\/span>\" ;\u00A0\u00A0\u00A0\nschema:givenName<\/a> \"Nikolaos<\/span>\" ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Nikolaos Sideris<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Thing\/amenagement_urbain<\/a>> # Am\u00E9nagement urbain<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Thing<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Am\u00E9nagement urbain<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Thing\/apprentissage_machine<\/a>> # Apprentissage machine<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Thing<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Apprentissage machine<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Thing\/modelisation_semantique<\/a>> # Mod\u00E9lisation s\u00E9mantique<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Thing<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Mod\u00E9lisation s\u00E9mantique<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Thing\/sig<\/a>> # SIG<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Thing<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"SIG<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Thing\/systeme_d_aide_a_la_decisio<\/a>> # Syst\u00E8me d\'aide \u00E0 la d\u00E9cisio<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Thing<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Syst\u00E8me d\'aide \u00E0 la d\u00E9cisio<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Thing\/villes_virtuelles<\/a>> # Villes virtuelles<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Thing<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Villes virtuelles<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Thing\/visualisation<\/a>> # Visualisation<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Thing<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Visualisation<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Topic\/apprentissage_automatique<\/a>> # Apprentissage automatique<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Intangible<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Apprentissage automatique<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Topic\/data_visualisation<\/a>> # Data visualisation<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Intangible<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Data visualisation<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Topic\/design_urbain_prise_de_decision<\/a>> # Design urbain--Prise de d\u00E9cision<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Intangible<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Design urbain--Prise de d\u00E9cision<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Topic\/imagerie_tridimensionnelle<\/a>> # Imagerie tridimensionnelle<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Intangible<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Imagerie tridimensionnelle<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/10026875583#Topic\/systemes_d_information_geographique<\/a>> # Syst\u00E8mes d\'information g\u00E9ographique<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Intangible<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Syst\u00E8mes d\'information g\u00E9ographique<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/id.loc.gov\/vocabulary\/countries\/fr<\/a>>\u00A0\u00A0\u00A0\u00A0a \nschema:Place<\/a> ;\u00A0\u00A0\u00A0\ndcterms:identifier<\/a> \"fr<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/www.theses.fr\/2019LIMO0083\/document<\/a>>\u00A0\u00A0\u00A0\nrdfs:comment<\/a> \"Acc\u00E8s au texte int\u00E9gral<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/www.worldcat.org\/title\/-\/oclc\/1143545645<\/a>>\u00A0\u00A0\u00A0\u00A0a \ngenont:InformationResource<\/a>, genont:ContentTypeGenericResource<\/a> ;\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/www.worldcat.org\/oclc\/1143545645<\/a>> ; # Spatial decision support in urban environments using machine learning, 3D geo-visualization and semantic integration of multi-source data<\/span>\n\u00A0\u00A0\u00A0\nschema:dateModified<\/a> \"2020-04-15<\/span>\" ;\u00A0\u00A0\u00A0\nvoid:inDataset<\/a> <http:\/\/purl.oclc.org\/dataset\/WorldCat<\/a>> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n\n

Content-negotiable representations<\/p>\n